Contains hand-coded implementations of statistical learning algorithms including perceptron, decision trees, SVM, naive Bayes, hidden Markov models, and ensemble methods. Each algorithm follows the textbook’s formulas with detailed comments and explanations. The repository serves as a learning resource where readers can compare implementations against mathematical definitions.